Power Quality Improvement in Distribution Networks Using Advanced Power Electronic Transformer Topologies

Abstract—The growing integration of renewable energy sources, nonlinear loads, and distributed generation has posed significant challenges to maintaining power quality in modern distribution networks. Conventional transformers, though reliable, lack the flexibility to mitigate issues such as voltage sag/swell, harmonics, unbalance, and reactive power disturbances. This paper presents a comprehensive study on the application of Advanced Power Electronic Transformer (PET) topologies for enhancing power quality in distribution systems. The proposed PET architecture incorporates multi-level converter stages with bidirectional power flow control, enabling dynamic voltage regulation, harmonic compensation, and load balancing. Simulation models are developed in MATLAB/Simulink to evaluate the performance of modular PET configurations under varying load and grid conditions. Comparative analysis with traditional transformer systems demonstrates significant improvements in voltage profile, total harmonic distortion (THD), and system efficiency. The study highlights the potential of PET-based solutions as a next-generation approach for intelligent, reliable, and sustainable distribution network operation.

Power Electronic Transformer (PET), Distribution Networks, Voltage Regulation, Harmonic Compensation, Reactive Power Control, Multilevel Converters, MATLAB/Simulink Simulation, Smart Grid

1. Y. Peng and J. Xiao, "Research on power quality and network loss improvement of rural distribution network," 2024 International Conference on Electronics and Devices, Computational Science (ICEDCS), Marseille, France, 2024, pp. 243-247, doi: 10.1109/ICEDCS64328.2024.00049. [Google Scholar] [Crossref]

2. W. Du, C. Huang, Y. Zhu and L. Wang, "Advancements in Power Quality Analysis for Electrical Distribution Networks," 2024 9th Asia Conference on Power and Electrical Engineering (ACPEE), Shanghai, China, 2024, pp. 874-878, doi: 10.1109/ACPEE60788.2024.10532469. [Google Scholar] [Crossref]

3. J. Guan, Y. Zhao, C. Wei, Y. Li, K. Ji and Y. Wang, "Research on Distributed Energy Optimization Method of Distribution Network for Multi-Dimensional Power Quality Improvement," 2024 7th International Conference on Energy, Electrical and Power Engineering (CEEPE), Yangzhou, China, 2024, pp. 1510-1514, doi: 10.1109/CEEPE62022.2024.10586406. [Google Scholar] [Crossref]

4. Vikas, R. P. Daund, D. Kumar, P. Charan, R. S. K. Ingilela and R. Rastogi, "Intrusion Detection in Wireless Sensor Networks using Hybrid Deep Belief Networks and Harris Hawks Optimizer," 2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC), Coimbatore, India, 2023, pp. 1631-1636, doi: 10.1109/ICESC57686.2023.10193270. [Google Scholar] [Crossref]

5. A. J. Lari, M. Zaid, M. Tayyab, M. Metry and A. Sarwar, "A Seven-Level Common Ground Inverter for Power Quality Improvement in a Distribution Network," 2025 IEEE 19th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG), Antalya, Turkiye, 2025, pp. 1-6, doi: 10.1109/CPE-POWERENG63314.2025.11027211. [Google Scholar] [Crossref]

6. Optimization of Graph Neural Networks for Real-Time Intrusion Detection in Dynamic Mobile Ad-Hoc Networks”, Int. J. Environ. Sci., vol. 11, no. 11s, pp. 740–748, Jun. 2025, doi: 10.64252/79452g17. [Google Scholar] [Crossref]

7. D. H. Gultom, A. Rajagukguk, E. Ervianto and Anhar, "Usage Unified Power Quality Conditioner (UPQC) Controller On Distribution Networks Base Simulation and Analysis," 2024 4th International Conference on Electrical Engineering and Informatics (ICon EEI), Pekanbaru, Indonesia, 2024, pp. 108-113, doi: 10.1109/IConEEI64414.2024.10747967. [Google Scholar] [Crossref]

8. A Comprehensive Analysis of Security Mechanisms and Threat Characterization in Mobile Ad Hoc Networks”, IJLTEMAS, vol. 14, no. 5, pp. 732–737, Jun. 2025, doi: 10.51583/IJLTEMAS.2025.140500079. [Google Scholar] [Crossref]

9. S. Chen, H. Li, C. Chen, H. Li, J. Qiu and M. Shao, "Research on key Technologies of Power Supply Reliability Improvement in new Distribution Network," 2024 9th Asia Conference on Power and Electrical Engineering (ACPEE), Shanghai, China, 2024, pp. 157-161, doi: 10.1109/ACPEE60788.2024.10532226. [Google Scholar] [Crossref]

10. V. Sharma and S. Kumar, "Role of Artificial Intelligence (AI) to Enhance the Security and Privacy of Data in Smart Cities," 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 2023, pp. 596-599, doi: 10.1109/ICACITE57410.2023.10182455. [Google Scholar] [Crossref]

11. X. Xia et al., "Economic Evaluation of Power Electronic Reactive Power Compensation Devices in Distribution Networks with Electric Vehicles Integration," 2025 8th International Conference on Energy, Electrical and Power Engineering (CEEPE), Wuxi, China, 2025, pp. 1395-1400, doi: 10.1109/CEEPE64987.2025.11033744. [Google Scholar] [Crossref]

12. W. Liang, L. Yang, J. Li, Y. Zhao and J. Yan, "Voltage Regulation Strategy for Medium and Low Voltage Distribution Network Based on Power Electronics," 2024 China International Conference on Electricity Distribution (CICED), Hangzhou, China, 2024, pp. 959-963, doi: 10.1109/CICED63421.2024.10754518. [Google Scholar] [Crossref]

• Decision Tree and Automatic Linear Modeling Approaches to Predict Body Weight in Indigenous Sabi Sheep and Matebele Goat Females of Zimbabwe
• Microcontroller – Based Automatic Railway Crossing Control and Track Obstacle Monitoring System
• Modelling the Role of Absorptive Capacity in Foreign Direct Investment - Economic Growth Nexus: A Focus on South Africa’s Manufacturing Sector
• AI-Powered Wristband for Accurate BAC Monitoring Using Smart Data Fusion
• Climate Change Impacts on Different Regions